Command and Control (C2) Wind Tunnel: High-Level Autonomy for Multi-Rotorcraft Experiments

Principal Investigators:Jonathan Sprinkle (University of Arizona)
Funding Agency:Vanderbilt University
AFOSR Contract Number:FA9550-06-1-0267
UA Award Number:1879-S4

Published papers resulting from the work

The C2WT Project ran at Arizona from 1/2008-5/2009.

  1. Hussain Al-Helal and Jonathan Sprinkle. "UAV Search : Maximizing Target Acquisition." In 17th IEEE Conference on the Engineering of Computer Based Systems., pages 9-19, . IEEE, March, 2010. (Cite)
  2. Jacob Gulotta, Diyang Chu, Ximing Yu, Hussain Al-Helal Tapasya Patki, Jason Hansen, Maribel Hudson and Jonathan Sprinkle. "Using Integrative Models in an Advanced Heterogeneous System Simulation." In IEEE International Conference on the Engineering of Computer-Based Systems. Los Alamitos, CA, USA. IEEE Computer Society, pages 3-10, 2009. (Cite)
  3. Tapasya Patki, Hussain Al-Helal, Jacob Gulotta, Jason Hansen and Jonathan Sprinkle. "Using Integrative Modeling for Advanced Heterogeneous System Simulation." In The 8th OOPSLA Workshop on Domain-Specific Modeling., pages 80-85, October 19-20, 2008. (Cite)

Research Program Final Briefing

Please find below research outbriefs, demos, and future work that resulted from the recent Command and Control (C2) Windtunnel Project. During this project, collaborative work with Vanderbilt University, UC Berkeley, and George Mason University, we demonstrated several key technologies developed by UA students. In the slides, you will learn of the modeling, computation, control, simulation, and communication issues that were integrated with the C2 Wind Tunnel, and various algorithms that were proved or tested using the simulation environment.


 Overview and Motivations (Sprinkle)
 Scenarios, demonstrations, and visual technology (Maribel Hudson)
 Algorithms for camera-based detection (Jacob Gulotta)
 Aerial Search algorithms for Ground Vehicles (Hussain Al-Helal)
 Control for search/tracking of air vehicles (Diyang Chu)

Project Summary

Multiple computational nodes will perform simulations of quad-rotor vehicle control models, allowing evaluation of various human-UAV interaction protocols through the C2WT infrastructure (under development at Vanderbilt). To this end, models will be created for advanced simulation and control, based on existing abstractions and models developed by researchers at UC Berkeley.

Support Information

This work is supported by the Air Force Office of Scientific Research, under award #FA9550-06-1-0267, titled "Human Centric Design Environments for Command and Control Systems: The C2 Wind Tunnel".